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SloBertAA_Top50_WithoutOOC_082023
gregorgabrovsek/SloBertAA_Top50_WithoutOOC_082023
SloBertAA_Top50_WithoutOOC_082023 is a text classification model from gregorgabrovsek. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- camembert
- Access
- Public
- Created
- Aug 12, 2023
- Updated
- Aug 13, 2023
- SHA
- 99729d9e
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
SloBertAA_Top50_WithoutOOC_082023
This model is a fine-tuned version of EMBEDDIA/sloberta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2976
- Accuracy: 0.8259
- F1: 0.8258
- Precision: 0.8273
- Recall: 0.8259
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.8974 | 1.0 | 32692 | 0.8620 | 0.7590 | 0.7597 | 0.7722 | 0.7590 |
| 0.7186 | 2.0 | 65384 | 0.7766 | 0.7884 | 0.7885 | 0.7974 | 0.7884 |
| 0.5288 | 3.0 | 98076 | 0.7449 | 0.8049 | 0.8051 | 0.8117 | 0.8049 |
| 0.4256 | 4.0 | 130768 | 0.7768 | 0.8140 | 0.8148 | 0.8190 | 0.8140 |
| 0.3053 | 5.0 | 163460 | 0.8764 | 0.8159 | 0.8163 | 0.8206 | 0.8159 |
| 0.2361 | 6.0 | 196152 | 1.0096 | 0.8177 | 0.8181 | 0.8224 | 0.8177 |
| 0.1471 | 7.0 | 228844 | 1.1231 | 0.8174 | 0.8173 | 0.8212 | 0.8174 |
| 0.1145 | 8.0 | 261536 | 1.2154 | 0.8224 | 0.8232 | 0.8271 | 0.8224 |
| 0.069 | 9.0 | 294228 | 1.2609 | 0.8256 | 0.8255 | 0.8270 | 0.8256 |
| 0.0399 | 10.0 | 326920 | 1.2976 | 0.8259 | 0.8258 | 0.8273 | 0.8259 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.0
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- License
- cc-by-sa-4.0
- Created
- Aug 12, 2023
- Updated
- Aug 13, 2023